A Novel Compressed Sensing Method for Magnetic Resonance Imaging: Exponential Wavelet Iterative Shrinkage-Thresholding Algorithm with Random Shift
Joint Authors
Zhang, Yudong
Yang, Jiquan
Yang, Jianfei
Liu, Aijun
Sun, Ping
Source
International Journal of Biomedical Imaging
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-03-15
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Aim.
It can help improve the hospital throughput to accelerate magnetic resonance imaging (MRI) scanning.
Patients will benefit from less waiting time.
Task.
In the last decade, various rapid MRI techniques on the basis of compressed sensing (CS) were proposed.
However, both computation time and reconstruction quality of traditional CS-MRI did not meet the requirement of clinical use.
Method.
In this study, a novel method was proposed with the name of exponential wavelet iterative shrinkage-thresholding algorithm with random shift (abbreviated as EWISTARS).
It is composed of three successful components: (i) exponential wavelet transform, (ii) iterative shrinkage-thresholding algorithm, and (iii) random shift.
Results.
Experimental results validated that, compared to state-of-the-art approaches, EWISTARS obtained the least mean absolute error, the least mean-squared error, and the highest peak signal-to-noise ratio.
Conclusion.
EWISTARS is superior to state-of-the-art approaches.
American Psychological Association (APA)
Zhang, Yudong& Yang, Jiquan& Yang, Jianfei& Liu, Aijun& Sun, Ping. 2016. A Novel Compressed Sensing Method for Magnetic Resonance Imaging: Exponential Wavelet Iterative Shrinkage-Thresholding Algorithm with Random Shift. International Journal of Biomedical Imaging،Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1105452
Modern Language Association (MLA)
Zhang, Yudong…[et al.]. A Novel Compressed Sensing Method for Magnetic Resonance Imaging: Exponential Wavelet Iterative Shrinkage-Thresholding Algorithm with Random Shift. International Journal of Biomedical Imaging No. 2016 (2016), pp.1-10.
https://search.emarefa.net/detail/BIM-1105452
American Medical Association (AMA)
Zhang, Yudong& Yang, Jiquan& Yang, Jianfei& Liu, Aijun& Sun, Ping. A Novel Compressed Sensing Method for Magnetic Resonance Imaging: Exponential Wavelet Iterative Shrinkage-Thresholding Algorithm with Random Shift. International Journal of Biomedical Imaging. 2016. Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1105452
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1105452